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Found 190 Skills
Generate code from templates and patterns including scaffolding, boilerplate generation, AST-based code generation, and template engines. Use when generating code, scaffolding projects, creating boilerplate, or using templates.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use when "code generation, AI code assistant, function calling, structured output, code review AI, automated refactoring, tool use, code completion, agent code, " mentioned.
Code Generation Guidelines
Automate repetitive code tasks using the build_runner system.
Generate artistic and stylized QR codes using each::sense AI. Create branded QR codes, QR codes with logos, artistic designs, and custom themes that remain scannable while looking visually stunning.
Low-Code Generation uses AI to produce forms, tables, dashboards, and workflow UIs from natural language descriptions or schema definitions.
Gemini CLI - Google's AI-powered command-line interface for building, debugging, and deploying with AI. Use when working with Gemini CLI configuration, commands, tools, extensions, hooks, skills, or MCP servers. Keywords: gemini-cli, google-ai, terminal, code-generation, workflow-automation, cli-commands, gemini-md, authentication, configuration, sandboxing, headless-mode, custom-commands, agent-skills, extensions, hooks, mcp-servers, file-system-tools, shell-commands, web-search, ide-integration.
OpenAPI 3.1 specification, schema design, and code generation. Use when designing REST APIs, generating TypeScript clients, or creating API documentation. Use for openapi, swagger, api-spec, schema, code-generation, api-docs, openapi-typescript, zod-openapi.
A methodology for iteratively improving agent-facing text instructions (skills / slash commands / task prompts / CLAUDE.md sections / code-generation prompts) by having a bias-free executor actually run them and evaluating two-sidedly (executor self-report + instruction-side metrics). Keep iterating until improvements plateau. Use it right after creating or substantially revising a prompt or skill, or when you want to attribute an agent's unexpected behavior to ambiguity on the instruction side.
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
Add `flutter_localizations` and `intl` dependencies, enable "generate true" in `pubspec.yaml`, and create an `l10n.yaml` configuration file. Use when initializing localization support for a new Flutter project.